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A critical review for developing affinity set method for multi classification and prediction

Machine learning, a branch of artificial Intelligence targets to make predictions more accurate. Machine Learning methods have been widely used. The notion of affinity set which is one of the machine learning methods can be defined as the distance or closeness between two objects. Unlike the fuzzy S...

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Main Authors:	Alanazi, Hamdan O., Abdullah, Abdul Hanan, Larbani, Moussa
Format:	Article
Published:	2013
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/40280/
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id	my.utm.40280
record_format	eprints
spelling	my.utm.402802019-03-17T04:22:00Z http://eprints.utm.my/id/eprint/40280/ A critical review for developing affinity set method for multi classification and prediction Alanazi, Hamdan O. Abdullah, Abdul Hanan Larbani, Moussa QA75 Electronic computers. Computer science Machine learning, a branch of artificial Intelligence targets to make predictions more accurate. Machine Learning methods have been widely used. The notion of affinity set which is one of the machine learning methods can be defined as the distance or closeness between two objects. Unlike the fuzzy Set and Rough Set, the affinity can deal with third objects and deals with time dimension. In addition, it could deal with entities or abstract side by side with real objects. Indeed, the existing models of affinity are developed for binary classification or prediction. This review highlighted that the existing models of affinity set should be developed in order to provide a multi classification or multi prediction. 2013-11 Article PeerReviewed Alanazi, Hamdan O. and Abdullah, Abdul Hanan and Larbani, Moussa (2013) A critical review for developing affinity set method for multi classification and prediction. International Journal of Computer Science & Engineering Technology (IJCSET), 3 (11). pp. 394-395. ISSN 2231-0711
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Alanazi, Hamdan O. Abdullah, Abdul Hanan Larbani, Moussa A critical review for developing affinity set method for multi classification and prediction
description	Machine learning, a branch of artificial Intelligence targets to make predictions more accurate. Machine Learning methods have been widely used. The notion of affinity set which is one of the machine learning methods can be defined as the distance or closeness between two objects. Unlike the fuzzy Set and Rough Set, the affinity can deal with third objects and deals with time dimension. In addition, it could deal with entities or abstract side by side with real objects. Indeed, the existing models of affinity are developed for binary classification or prediction. This review highlighted that the existing models of affinity set should be developed in order to provide a multi classification or multi prediction.
format	Article
author	Alanazi, Hamdan O. Abdullah, Abdul Hanan Larbani, Moussa
author_facet	Alanazi, Hamdan O. Abdullah, Abdul Hanan Larbani, Moussa
author_sort	Alanazi, Hamdan O.
title	A critical review for developing affinity set method for multi classification and prediction
title_short	A critical review for developing affinity set method for multi classification and prediction
title_full	A critical review for developing affinity set method for multi classification and prediction
title_fullStr	A critical review for developing affinity set method for multi classification and prediction
title_full_unstemmed	A critical review for developing affinity set method for multi classification and prediction
title_sort	critical review for developing affinity set method for multi classification and prediction
publishDate	2013
url	http://eprints.utm.my/id/eprint/40280/
_version_	1643650433555628032
score	13.211869

A critical review for developing affinity set method for multi classification and prediction

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